{"repo":"Auriti-Labs/geo-optimizer-skill","free":true,"listed":false,"github":"https://github.com/Auriti-Labs/geo-optimizer-skill","clone":"git clone https://github.com/Auriti-Labs/geo-optimizer-skill.git","description":"Open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit — audit, optimize & track whether ChatGPT, Perplexity, Gemini & Google AI Overviews cite your site. AI SEO / LLM SEO. CLI, Python, MCP, Astro.","language":"Python","stars":700,"topics":["claude","geo","llms-txt","perplexity","seo","generative-engine-optimization","python","cli","mcp","schema-markup"],"license":"MIT","category":"cli-tools","readme_excerpt":"The open-source Answer Engine Optimization (AEO) & Generative Engine Optimization (GEO) toolkit. Audit, optimize, and track whether ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews can crawl, understand, and cite your website. One command scores your site 0–100 on AI-search readiness, tells you exactly what to fix, and checks whether AI engines actually cite you. Quick Start · Live Demo · Pricing · Sign Up · Documentation · Changelog 16 CLI commands · 8 scoring categories · 47 research-backed methods · 7 output formats · 1,720 tests · academic foundation (KDD 2024, ICLR 2026) · runs in CI/CD, as a Python library, an MCP server, or an Astro integration --- What is GEO Optimizer? GEO Optimizer is a free, open-source command-line tool (and Python library, MCP server, and Astro integration) that measures how visible your website is to AI answer engines — ChatGPT, Perplexity, Google AI Overviews, Gemini, and Claude — and tells you how to get cited by them. This discipline goes by several names; this tool covers all of them: Answer Engine Optimization (AEO) , Generative Engine Optimization (GEO) , AI SEO , LLM SEO , AI Search Optimization , and AI visibility / LLM visibility monitoring. If you're searching for an \"open-source AEO tool\" , a \"tool to check if ChatGPT cites my website\" , or an \"llms.txt checker\" — that's this. It scores your site against 47 research-backed methods (Princeton KDD 2024, AutoGEO ICLR 2026) and generates the exact fixes — robots.txt bot rules,","default_branch":null,"files":null,"tree":[],"storefront":"/r/Auriti-Labs","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Auriti-Labs/geo-optimizer-skill/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}